Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, China.
JMIR Mhealth Uhealth. 2020 Jun 10;8(6):e19457. doi: 10.2196/19457.
The current pandemic of the coronavirus disease (COVID-19) has highlighted the importance of rapid control of the transmission of infectious diseases. This is particularly important for COVID-19, where many individuals are asymptomatic or have only mild symptoms but can still spread the disease. Current systems for controlling transmission rely on patients to report their symptoms to medical professionals and be able to recall and trace all their contacts from the previous few days. This is unrealistic in the modern world. However, existing smartphone-based GPS and social media technology may provide a suitable alternative. We, therefore, developed a mini-program within the app WeChat. This analyzes data from all users and traces close contacts of all patients. This permits early tracing and quarantine of potential sources of infection. Data from the mini-program can also be merged with other data to predict epidemic trends, calculate individual and population risks, and provide recommendations for individual and population protection action. It may also improve our understanding of how the disease spreads. However, there are a number of unresolved questions about the use of smartphone data for health surveillance, including how to protect individual privacy and provide safeguards against data breaches.
当前的冠状病毒病(COVID-19)大流行突出了快速控制传染病传播的重要性。对于 COVID-19 来说,这一点尤为重要,因为许多人无症状或仅有轻微症状,但仍可能传播疾病。目前用于控制传播的系统依赖于患者向医疗专业人员报告症状,并能够回忆和追踪前几天的所有接触者。在现代社会,这是不现实的。然而,现有的基于智能手机的 GPS 和社交媒体技术可能提供了一个合适的替代方案。因此,我们在微信应用程序中开发了一个小程序。该程序分析所有用户的数据,并追踪所有患者的密切接触者。这允许早期追踪和隔离潜在的感染源。该小程序的数据还可以与其他数据合并,以预测疫情趋势、计算个人和人群风险,并为个人和人群保护行动提供建议。它还可以帮助我们更好地了解疾病的传播方式。但是,使用智能手机数据进行健康监测仍存在一些未解决的问题,包括如何保护个人隐私和防止数据泄露。